output
19942026
most citedFedKD: Communication Efficient Federated Learning via Knowledge Distillation

623 citations

Showing 2020Show all

9 papers · 1 filter

cs.AI2020★ 250 cited

Logic Tensor Networks

Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini +1

Artificial Intelligence agents are required to learn from their surroundings and to reason about the knowledge that has been learned in order to make decisions. While state-of-the-…

cs.NI2020★ 2 cited

Multi-hop Routing with Proactive Route Refinement for 60 GHz Millimeter-Wave Networks

Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda +1

Fundamental requirements of mmWave systems are peak data rates of multiple Gbps and latencies of the order of at most a few milliseconds. However, highly directional mmWave links a…

cs.CR2020★ 41 cited

FederBoost: Private Federated Learning for GBDT

Zhihua Tian, Rui Zhang, Xiaoyang Hou +4

Federated Learning (FL) has been an emerging trend in machine learning and artificial intelligence. It allows multiple participants to collaboratively train a better global model a…

cs.HC2020★ 34 cited

New interfaces for musical expression

Ivan Poupyrev, Michael J. Lyons, Sidney Fels +1

The rapid evolution of electronics, digital media, advanced materials, and other areas of technology, is opening up unprecedented opportunities for musical interface inventors and…

stat.AP2020★ 5 cited

Clustering patterns connecting COVID-19 dynamics and Human mobility using optimal transport

Frank Nielsen, Gautier Marti, Sumanta Ray +1

Social distancing and stay-at-home are among the few measures that are known to be effective in checking the spread of a pandemic such as COVID-19 in a given population. The patter…

cs.CG2020★ 12 cited

Hilbert geometry of the Siegel disk: The Siegel-Klein disk model

Frank Nielsen

We study the Hilbert geometry induced by the Siegel disk domain, an open bounded convex set of complex square matrices of operator norm strictly less than one. This Hilbert geometr…